Benesty / Chen A Conceptual Framework for Noise Reduction

2015
ISBN: 978-3-319-12955-6
Verlag: Springer International Publishing
Format: PDF
Kopierschutz: 1 - PDF Watermark

E-Book, Englisch, 95 Seiten, eBook

Reihe: SpringerBriefs in Electrical and Computer Engineering

Though noise reduction and speech enhancement problems have been studied for at least five decades, advances in our understanding and the development of reliable algorithms are more important than ever, as they support the design of tailored solutions for clearly defined applications. In this work, the authors propose a conceptual framework that can be applied to the many different aspects of noise reduction, offering a uniform approach
to monaural and binaural noise reduction problems, in the time domain and in the frequency domain, and involving a single or multiple microphones. Moreover, the derivation of optimal filters is simplified, as are the performance measures used for their evaluation.

Zielgruppe

Research

Autoren/Hrsg.

Benesty, Jacob

Chen, Jingdong

Inhaltsverzeichnis

1;Abstract;6
2;Contents;7
3;1 Introduction;9
3.1;1.1 Noise Reduction;9
3.2;1.2 Organization of the Work;10
3.3;References;10
4;2 Conceptual Framework;11
4.1;2.1 Signal Model;11
4.2;2.2 Principle of the Conceptual Framework;12
4.3;2.3 Performance Measures;14
4.4;2.4 Mean-Squared-Error (MSE) Based Criterion;17
4.5;2.5 Summary;20
4.6;References;21
5;3 Single-Channel Noise Reduction in theTime Domain;22
5.1;3.1 Signal Model;22
5.2;3.2 Linear Filtering;24
5.3;3.3 Performance Measures;25
5.4;3.4 MSE-Based Criterion;27
5.5;3.5 Optimal Filters;29
5.6;3.6 Simulations;31
5.7;References;37
6;4 Single-Channel Noise Reduction in the STFT Domain with Interframe Correlation;38
6.1;4.1 Signal Model;38
6.2;4.2 Linear Filtering;40
6.3;4.3 Performance Measures;41
6.4;4.4 MSE-Based Criterion;46
6.5;4.5 Optimal Filters;48
6.6;4.6 Particular Case;51
6.7;4.7 Simulations;51
6.8;References;57
7;5 Binaural Noise Reduction in the Time Domain;58
7.1;5.1 Signal Model;58
7.2;5.2 Widely Linear Filtering;60
7.3;5.3 Performance Measures;63
7.4;5.4 MSE-Based Criterion;65
7.5;5.5 Optimal Filters;68
7.6;5.6 Simulations;69
7.7;References;72
8;6 Multichannel Noise Reduction in the STFT Domain;73
8.1;6.1 Signal Model;73
8.2;6.2 Linear Filtering;76
8.3;6.3 Performance Measures;77
8.4;6.4 MSE-Based Criterion;81
8.5;6.5 Optimal Filters;83
8.6;6.6 Simulations;87
8.7;References;92
9;Index;93

1 Introduction.- 2 Conceptual Framework.- 3 Single-Channel Noise Reduction in the Time Domain.- 4 Single-Channel Noise Reduction in the STFT Domain with Interframe Correlation.- 5 Binaural Noise Reduction in the Time Domain.- 6 Multichannel Noise Reduction in the STFT Domain.